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<table width="100%" summary="page for ria"><tr><td>ria</td><td align="right">R Documentation</td></tr></table>

<h2>Radioimmunoassay Data</h2>

<h3>Description</h3>


<p>The <code>ria</code> data frame has 16 rows and 2 columns.
</p>
<p>Run of a radioimmunoassay (<acronym><span class="acronym">RIA</span></acronym>) to estimate the 
concentrations of a drug in samples of porcine serum.  The 
experiment consists of 16 observations made at 8 different drug 
levels with two replications at each level.
</p>


<h3>Usage</h3>

<pre>data(ria)</pre>


<h3>Format</h3>


<p>This data frame contains the following columns:
</p>

<dl>
<dt><code>conc</code></dt><dd>
<p>the drug concentration (ng/ml);
</p>
</dd>
<dt><code>count</code></dt><dd>
<p>the observed percentage of radioactive gamma counts.
</p>
</dd>
</dl>



<h3>Source</h3>


<p>The data were obtained from
</p>
<p>Belanger, B. A., Davidian, M. and Giltinan, D. M. (1996) The effect
of variance function estimation on nonlinear calibration inference 
in immunoassay data.  <EM>Biometrics</EM>, <B>52</B>, 158&ndash;175.  
Table 1, first two columns.
</p>


<h3>References</h3>


<p>Brazzale, A. R. (2000) <EM>Practical Small-Sample Parametric 
Inference</EM>.  Ph.D. Thesis N. 2230, Department of Mathematics, Swiss 
Federal Institute of Technology Lausanne.  Section 5.3, Example 6.
</p>


<h3>Examples</h3>

<pre>
data(ria)
attach(ria)
plot(conc, count, xlab="drug concentration (ng/ml)", ylab="gamma counts (%)")
detach()
</pre>


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